Preserving data privacy in Machine Learning pipelines with Federated Learning
FAME's project blog
The feature extraction capabilities of Machine Learning (ML) models have led to their wide adoption in a large variety of sectors: from anomaly detection for machinery, to user clustering and behavioral prediction, market trends predictions, or the analysis of text, sound, and image data.
Atomic Services: sustainable ecosystem of smart city services through pan-European collaboration
Conference Paper for the Global IoT Summit 2019 (GIoTS) in Aarhus, Denmark.
Artificial Intelligence as the second phase for IoT – Part 1
Part 1 of Bylined Article about AI and IoT, published at Atos Blog
Artificial Intelligence as the second phase for IoT – Part 2
Part 2 of Bylined Article about AI and IoT, published at Atos Blog
Artificial Intelligence as the second phase for IoT
ATOS Blog:
https://atos.net/en/blog/artificial-intelligence-second-phase-iot-part-1